Packs

12 packs

Azure Data Analytics

For data engineers to query and manage big data on Azure with Kusto and Data Lake.

4 skills · pack

Data from om-scogo/skillsh-scraper.

100 skills · pack

Privacy Data Protection Skills

Privacy Data Protection Skills from mukul975/Privacy-Data-Protection-Skills.

100 skills · pack

Data Analysis from nivkazdan/skills-agents-catalog.

6 skills · pack

SQL, analytics, datasets, models and machine-learning workflows.

29 skills · pack

Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.

3 skills · pack

Python Data Visualization

For data scientists to create static and interactive plots using Python libraries.

12 skills · pack

Deploy Azure Infrastructure

Creates databases, caches, and configures authentication, monitoring, and backup.

3 skills · pack

Social Media Scraping

Extract structured data from social media platforms via browser automation.

12 skills · pack

Azure services skills covering 200+ cloud services, IoT, AI, data, networking, and more

78 skills · pack

Build GraphQL API

Design a GraphQL schema, implement resolvers with DataLoader, and integrate with Apollo.

4 skills · pack

Redpanda Data Skills

Agent Skills for Redpanda's five products — Streaming (Kafka-compatible engine), SQL (Oxla), Connect (incl. CDC connectors), Cloud (Serverless, BYOC, Dedicated), and the Agentic Data Plane — plus the rpk CLI. Grounded in Redpanda source, docs, and APIs.

32 skills · pack

Results for “data”

429 skills

Build synthetic datasets and data generation pipelines using the Data Designer library.

nemo-data-designer-plugin

Build synthetic datasets and data generation pipelines using the Data Designer library.

Data pipeline specialist for ETL design, data quality, CDC patterns, and batch/stream processingUse when "data pipeline, etl, cdc, data quality, batch processing, stream processing, data transformation, data warehouse, data lake, data validation, data-engineering, etl, cdc, batch, streaming, data-quality, dbt, airflow, dagster, data-pipeline, ml-memory" mentioned.

End-to-end data pipeline for empirical research: fetch economic data from APIs (FRED, World Bank, IMF, BLS, OECD, Yahoo Finance), clean and transform raw data, construct strategy-specific variables, and validate panel structure. Use when asked to fetch data, download data, clean data, merge datasets, prepare analysis-ready data.

lucaspmarie-a11y

Guides database design, implementation, optimization, migrations, data pipelines, and operations across SQL and NoSQL platforms.

azure-data-share

Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, managing invitations/RBAC, cross-region deployments, dataset mapping, or automation, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Import Export (use azure-import-export), Azure Open Datasets (use azure-open-datasets), Azure Data Explorer (use azure-data-explorer).

More results

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.

Data Pipeline Architect

engineering-engineering-data-engineer

Expert data engineer specializing in building reliable data pipelines, lakehouse architectures, and scalable data infrastructure. Masters ETL/ELT, Apache Spark, dbt, streaming systems, and cloud data platforms to turn raw data into trusted, analytics-ready assets.

projectious-work

Data quality framework — completeness, accuracy, consistency, validation, and contracts. Use when implementing data validation, setting up quality checks for a pipeline, defining data contracts between teams, or investigating data anomalies.

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

database-design

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

database-design

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

database-design

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.

implementing-cloud-dlp-for-data-protection

Discover, classify, and protect sensitive data across cloud storage, databases, and data pipelines using Amazon Macie, Azure Information Protection, and Google Cloud DLP API.

24.6k · bundle

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.

Guides scaling decisions for Qdrant vector databases based on data volume, query throughput, latency, or query volume.

databricks-deploy

Ad-Hoc Raw Upload to Databricks

azure-storage-file-datalake-py

Manage Azure Data Lake Storage Gen2 with Python SDK for hierarchical file systems, big data analytics, and file/directory operations.

railway-database

Add official Railway database services (Postgres, Redis, MySQL, MongoDB) to a project, check for existing databases, and connect them to other services.

Wire ETL, ingestion, cron, edge-function, and queue jobs correctly. Use for "build a pipeline", "sync X into Y", "nightly aggregation", "cron double-counts", "dedupe", "backfill", "the numbers are wrong after a retry". Bakes in idempotency, atomic writes, data contracts, dead-letter, and observability.

Provides guidance and best practices for working with Datadog, covering setup, configuration, monitoring, and troubleshooting.

Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when "segment, analytics.js, customer data platform, cdp, tracking plan, event tracking, identify track page, data routing, segment, cdp, analytics, tracking, data-pipeline, customer-data" mentioned.

adobe-create-pdfs-from-data

Merges CSV/TSV data with an InDesign template to generate personalized PDFs like certificates, badges, and catalogs.

Installs and configures ktx, the open-source context layer for data agents, including database connections, embeddings, agent integration, and context ingestion.

agentskillexchange

datadog-monitor-sync

Synchronizes Datadog monitor definitions between environments using the Datadog API v2 monitors endpoint, with diff-based updates, tag filtering, and Terraform state reconciliation.

Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.

azure-monitor-ingestion-java

Send custom logs to Azure Monitor via Data Collection Rules and Data Collection Endpoints using the Java SDK.

implementing-aws-macie-for-data-classification

Automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.

24.6k · bundle

Data pipeline specialist for ML experiments. Use when the user asks to talk to Gekko, requests the data engineer, or needs DataLoader optimization.

agentskillexchange

datadog-slo-monitor

Monitors Datadog Service Level Objectives and burn rate alerts via the Datadog API v2. Generates SLO compliance reports and triggers remediation workflows when error budgets are exhausted.

qdrant-scaling-data-volume

Guides scaling decisions for Qdrant vector databases when data volume exceeds single-node capacity, covering tenant scaling, time window rotation, vertical scaling, and horizontal sharding.

cloudthinker-ai

Manages Xata serverless databases via the xata CLI and REST API, covering discovery of workspaces, databases, branches, tables, schema, migrations, and record counts with read-only operations.

agentskillexchange

datadog-mcp-server

Sets up Datadog tracing for Node.js applications by installing the dd-trace library and linking to official documentation.

hunting-for-data-exfiltration-indicators

Analyze network traffic, logs, and data flows to detect potential data exfiltration via DNS tunneling, cloud storage uploads, encrypted channels, and other indicators of compromise.

24.6k · bundle